Machine learning is a promising approach to explore the vast amount of wireless data with
artificial intelligence (AI) to accomplish a wide variety of large-scale, computation or …

Big artificial intelligence (AI) models have emerged as a crucial element in various intelligent
applications at the edge, such as voice assistants in smart homes and autonomous robotics …

Recent years have seen rapid deployment of mobile computing and Internet of Things (IoT)
networks, which can be mostly attributed to the increasing communication and sensing …

Pushing artificial intelligence (AI) from central cloud to network edge has reached board
consensus in both industry and academia for materializing the vision of artificial intelligence …

Recently, big artificial intelligence models (BAIMs) represented by chatGPT have brought an
incredible revolution. With the pre-trained BAIMs in certain fields, numerous downstream …

The cloud-based solutions are becoming inefficient due to considerably large time delays,
high power consumption, and security and privacy concerns caused by billions of connected …

As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …

The goal of this tutorial is to provide one of the first holistic tutorials on the topic of machine
learning for wireless network design. In particular, we will first provide a comprehensive …

The realization of data-driven AI-native architecture envisioned for 6G and beyond networks
can eventually lead to multiple machine learning (ML) workloads distributed at the network …

The advent of the wireless communications systems augurs new cutting-edge technologies,
including self-driving vehicles, unmanned aerial systems, autonomous robots, the Internet-of …